Top Software Engineer Jobs in India

Develops secure, scalable software solutions within an agile Paid Media team. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, data analysis, reporting, and improving system quality and resilience. The role uses AI-assisted development tools responsibly, validates generated outputs, supports automation, and contributes to secure coding and engineering practices. Candidates need 3+ years of software engineering experience, system design and application development skills, SDLC knowledge, and familiarity with modern front-end or cloud technologies.

Develop and maintain secure, scalable Android applications using Kotlin and Java. Build Android features, Compose/XML interfaces, backend integrations, authentication flows, automated tests, and CI/CD workflows. Troubleshoot performance, crashes, and ANRs while applying MVVM/MVI architectures, modern Android libraries, and secure coding practices. Use authorized AI development tools responsibly, validate generated outputs, and collaborate within an agile enterprise software development lifecycle.

Designs and builds enterprise Azure data platforms using Synapse, Databricks, ADLS Gen2, ADF, PySpark, and Spark SQL. Leads data modernization and migration initiatives, develops scalable pipelines, applies data quality and warehouse practices, optimizes performance and cloud costs, and establishes architecture and governance standards. The role also mentors engineers, supports CI/CD and Azure DevOps practices, and promotes AI-assisted development tools.

Develop and support secure, scalable full-stack enterprise applications. Build Java and Spring Boot backend services, REST APIs, microservices, and modern frontend components using React, Angular, JavaScript, or TypeScript. Collaborate with architects, product owners, QA, DevOps, and global stakeholders in Agile delivery. Participate in testing, code reviews, CI/CD, deployment automation, monitoring, production support, and secure coding practices.

Develop and troubleshoot secure, scalable software within an agile Payments Technology team. Responsibilities include coding, system design, technical troubleshooting, data analysis, SDLC execution, AI-assisted development, and automation. The role requires experience with Python, Java, AWS, Databricks, ETL, SQL, microservices, Kubernetes, Terraform, and relational databases.

Develops, tests, troubleshoots, and maintains secure, stable, scalable software within an agile Payments Technology team. The role involves Python and Java development, system design, SDLC execution, automation, cloud deployments, microservices, Terraform, AWS infrastructure, database development, application resiliency, and responsible use of AI-assisted engineering tools.

Develop and troubleshoot secure, scalable software components for JPMorganChase’s Commercial Investment Bank. Responsibilities include designing Java and Spring microservices, working with MongoDB, Kafka, Kubernetes, cloud-native applications, CI/CD, testing, REST/MQ interfaces, and application resiliency. The role requires analyzing data, resolving technical issues, participating in agile delivery, and collaborating with globally diverse teams across the software development lifecycle.

Develop and maintain reliable, secure software and distributed services for financial applications. Responsibilities include system design, Python API development, CI/CD automation, cloud infrastructure support, observability, incident response, root cause analysis, and reliability improvements. The role collaborates with engineering and production support teams, analyzes operational data, uses authorized AI tools, and participates in technical communities.

Develop scalable data pipelines, APIs, and data services for revenue management and financial planning applications. The role involves cloud and open-source technologies, data quality and performance improvements, cross-functional collaboration, code reviews, Agile delivery, and AI-assisted development. Candidates will build ETL or ELT solutions using Python, SQL, relational databases, and modern data platforms, while contributing to platform architecture, engineering standards, testing, and DevOps practices.

Designs, builds, deploys, and optimizes production Generative AI applications, including LLM-powered assistants, AI agents, RAG pipelines, inference orchestration, and enterprise integrations. Implements safety guardrails, responsible AI practices, evaluation, observability, and cost-performance improvements. Requires collaboration with product, engineering, and security teams, plus documentation of designs, prompts, evaluations, and operational procedures.

Develops secure, scalable Java full-stack applications within an agile team. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, data analysis, and production stability. Uses enterprise-authorized AI-assisted development tools while validating outputs for security, correctness, and performance. Collaborates on CI/CD, application resiliency, and secure software development practices.

Develops, maintains, and enhances Cleo software applications using Java, TypeScript, Angular, Node.js, and SQL. Responsibilities include designing solutions, writing and testing code, debugging defects, collaborating cross-functionally, documenting software, and upgrading existing applications. The role emphasizes AI-assisted development, including coding assistants, LLM APIs, and agentic AI patterns.

Develops secure, scalable Java and Python backend applications within an agile enterprise technology team. Responsibilities include designing microservices, REST APIs, WebSockets, and distributed systems; creating production code; troubleshooting; producing architecture artifacts; using AWS or other cloud platforms; applying AI-assisted development tools responsibly; analyzing data for system improvements; and maintaining testing, automation, observability, resiliency, and security standards.

Designs, develops, tests, deploys, and supports scalable full-stack applications and AI-enabled solutions for agricultural and trading businesses. Builds generative AI, LLM, agentic workflow, and RAG applications using cloud-native platforms. Collaborates with product and engineering teams, automates deployment processes, maintains documentation, troubleshoots production issues, and improves software delivery standards and reliability.

Leads architecture, integration, deployment, and operations for highly available multi-cloud solutions across AWS and GCP. Builds infrastructure with Terraform and Ansible, develops automation in Python or Go, and manages Kubernetes, Docker, Linux, observability, SLOs, incident response, and 24x7 production support. Partners with customers and engineering teams on deployment and troubleshooting, while improving reliability through root cause analysis and post-mortems.

Build and improve backend applications and distributed systems, leading complex projects from technical design through launch. Responsibilities include solving architecture challenges, establishing standards, reviewing code, documenting systems, fixing high-risk bugs, collaborating across engineering teams, mentoring junior engineers, and transitioning expertise to Java development while considering scalability, performance, robustness, and customer impact.

Build and ship scalable backend features and RESTful microservices in a distributed cloud environment. Responsibilities include code review, testing, documentation, monitoring, error reporting, reliability and performance improvements, Agile participation, and mentoring teammates. The role requires experience with backend application development, object-oriented programming, databases, public cloud platforms, and cloud architecture patterns.

Lead backend software engineering initiatives from technical design through launch. Solve complex architecture and reliability challenges, deliver shared solutions for engineering teams, establish code review and documentation standards, manage high-risk fixes, influence company-wide initiatives, mentor engineers, and make customer-focused technical decisions across cloud and developer productivity environments.

Designs and implements conversational AI systems for medical content, including evaluation, optimization, reinforcement learning, and responsible AI practices. Leads UiPath-to-Power Automate Desktop migrations and integrates AI capabilities into automation workflows. Uses generative AI tools to build internal tools, scripts, and scalable AI agents while collaborating with research, engineering, product, and cross-functional teams.

Develop scalable software across full-stack, infrastructure, or front-end paths. Design service-oriented architectures, APIs, workflows, algorithms, web applications, data visualizations, and interactive user interfaces. Collaborate on small teams to solve complex problems involving large datasets while building expertise through Mastercard’s 18-month Launch program.

Design, develop, test, maintain, and support secure, scalable Java and Angular software applications. Translate business requirements into technical solutions, collaborate with Product and QA teams, participate in Agile delivery, and support CI/CD, deployment, monitoring, and production activities.

Leads software architecture, technical direction, and development of scalable, secure systems. Designs core services, reviews code, tunes performance, and ensures fault tolerance. Mentors engineers, facilitates design reviews, and collaborates with DevOps, QA, Product, and business stakeholders. The role requires full-stack Java and React development, cloud platforms, AI application development, testing, API and database design, microservices, distributed systems, DevOps, CI/CD, and containerization expertise.

Develop and maintain full-stack enterprise applications using .NET, C#, ASP.NET, WCF, and SQL Server. Design database schemas, stored procedures, functions, triggers, and migration scripts using T-SQL. Participate in Agile development, code reviews, debugging, performance optimization, mentoring, and technical guidance. Apply software security practices and responsible AI principles. Leverage AI tools for coding, testing, documentation, and optimization while evaluating generated code for quality and security.

Develop and maintain Java 21/Spring Boot microservices and React/TypeScript frontends. Manage Terraform infrastructure deployed to AWS ECS, produce secure production code, contribute to architecture, analyze data, and improve software quality through testing, automation, and authorized AI-assisted development. Collaborate within an agile team while supporting application resiliency, security, and continuous improvement.

Design, develop, and maintain scalable ETL pipelines, data-processing platforms, backend services, APIs, and cloud-native applications using Java, Spark, AWS, and related technologies. Ensure data quality, security, performance, monitoring, and operational excellence. Contribute to CI/CD, automation, production support, Agile development, and technical leadership while collaborating with cross-functional teams.